Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts)

Versión 1.5.0.1 (12,7 KB) por MathWorks Parallel Computing Toolbox Team
Tutorials on Parallel and GPU Computing with MATLAB
5.0
(2)
3,2K descargas
Actualizado 1 sep 2016

Ver licencia

This submission contains all code examples used in tutorial series for Parallel and GPU Computing with MATLAB available here:
http://www.mathworks.com/products/parallel-computing/tutorials.html
Topics covered:
1. Product Landscape (no code examples)
2. Prerequisites and Setup (no code examples)
3. Quick Success with parfor
4. Deeper Insights into Using parfor
5. Batch Processing
6. Scaling to Clusters
7. spmd - Parallel Code Beyond parfor
8. Distributed Arrays
9. GPU Computing with MATLAB

Citar como

MathWorks Parallel Computing Toolbox Team (2024). Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts) (https://www.mathworks.com/matlabcentral/fileexchange/46711-tutorials-parallel-and-gpu-computing-with-matlab-all-in-one-9-parts), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Parallel Computing en Help Center y MATLAB Answers.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

3_ExampleCode_QuickSuccesswithparfor/

4_ExampleCode_parforInsights/

5_ExampleCode_BatchProcessing/

6_ExampleCode_ScalingToClusters/

7_ExampleCode_SPMD_ParallelCodeBeyondparfor/

8_ExampleCode_distributed_arrays/

9_ExampleCode_GPUComputingwithMATLAB/

Versión Publicado Notas de la versión
1.5.0.1

Updated license
1.5.0.0

Deleting Simulink Verification and Validation from the list of required products. This was requested by Nicholas Ide and Harald Brunnhofer, who note that only MATLAB and PCT are needed for this.
1.4.0.0

Updated comments
1.3.0.0

Updated code to match the latest tutorials
1.2.0.0

updated description